A PyTorch toolkit for 2D Human Pose Estimation.
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Updated
Dec 20, 2021 - Python
A PyTorch toolkit for 2D Human Pose Estimation.
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
3D HourGlass Networks for Human Pose Estimation Through Videos
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Hourglass network for topology extraction of retina images
Pytorch implementation of the paper "Toward fast and accurate human pose estimation via soft-gated skip connections"
Pose estimation implemented in tensorflow 2.
Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch
tf.keras implementation of "Toward fast and accurate human pose estimation via soft-gated skip connections" by Bulat et al. and "Stacked Hourglass Networks for Human Pose Estimation" by Newell et al.
Real-time single person pose estimation.
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Human pose estimation using hour-glass architecture and Tensorflow 2.0
A PyTorch toolkit for 2D Human Pose Estimation.
This repository about the project of Computer Vision course at the Sapienza University of Rome: Single-Person 2D Joints Estimation using Convolutional Neural Network, Stacked Hourglass Network, etc.
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